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Papers
BiasFilter: An Inference-Time Debiasing Framework for Large Language Models
EMNLP 2025
Joint Vision-Language Social Bias Removal for CLIP
CVPR 2025
Mitigating Social Bias in Large Language Models: A Multi-Objective Approach Within a Multi-Agent Framework
AAAI 2025
Toward Inclusive Language Models: Sparsity-Driven Calibration for Systematic and Interpretable Mitigation of Social Biases in LLMs
EMNLP 2025
Addressing Healthcare-related Racial and LGBTQ+ Biases in Pretrained Language Models
NAACL 2024
Leveraging Prototypical Representations for Mitigating Social Bias without Demographic Information
NAACL 2024
Mitigate Extrinsic Social Bias in Pre-trained Language Models via Continuous Prompts Adjustment
EMNLP 2024
TagDebias: Entity and Concept Tagging for Social Bias Mitigation in Pretrained Language Models
NAACL 2024
The Devil is in the Neurons: Interpreting and Mitigating Social Biases in Language Models
ICLR 2024
Prompt Tuning Pushes Farther, Contrastive Learning Pulls Closer: A Two-Stage Approach to Mitigate Social Biases
ACL 2023
Upstream Mitigation Is Not All You Need: Testing the Bias Transfer Hypothesis in Pre-Trained Language Models
ACL 2022